PSI - Issue 39

ScienceDirect Available online at www.sciencedirect.com ScienceDir ct Structural Integrity Procedia 00 (2019) 000–000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000–000 Available online at www.sciencedirect.com

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 39 (2022) 236–246

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors Abstract The paper presents a probabilistic approach to fatigue strength assessment based on the Wheeler model that provides the opportunity to account for crack retardation due to overload in a probabilistic formulation. The probabilistic assessment is performed by Monte Carlo simulations based on random sampling. It consists of running deterministic assessments a sufficiently large number of times with different combinations of randomly sampled input data in order to build a statistical picture of the output quantities. A computer code in Matlab was developed to obtain the prior assessment of the probability of fatigue failure of a pipeline structural component. The Bayesian inference is used to update the prior assessment failure probability assessments as soon data from in service technical inspections become available © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) 1. Introduction Many industries/sectors (aerospace, nuclear engineering, metallurgy) are currently moving from the safe life design philosophy that implies that safety-critical components must retire at predetermined moments of time to damage tolerance design approach that suggests that the component is able to sustain anticipated loads in the presence of fatigue, corrosion or accidental damage until such damage is detected, through inspections or malfunctions, and repaired. 7th International Conference on Crack Paths Probabilistic assessment of fatigue crack propagation with accounting for effects of crack retardation due to overloads Dmitry O. Reznikov a * a Mechanical Engineering Research Institute, 4 Maly Kharitonievsky lane, Moscow, 101990, Russia Abstract The paper presents a probabilistic approach to fatigue strength assessment based on the Wheeler model that provides the opportunity to account for crack retardation due to verl ad in a probabilistic for ulation. The probabilistic assessment is performed by Monte Carlo simulations based on ra dom sampling. It consists of running determi istic assessments a sufficiently large nu ber of times with different combinations of rando ly sampled input data in order to build a statistical picture of the output quantities. A computer code in Matl b was developed to obtain the prior assessment of the probability of fatigue failure of a pipeline structural onent. The Bayesian inference is used to update the prior assessment failure probability assessments as soon data from in service technical inspections become available © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors Keywords: Crack growth; failure probability; crack retardation 1. Introduction Many industries/sectors (aerospace, nuclear engineering, metallurgy) are currently moving from the safe life design philosophy that implies that safety-critica compo nts must retire at predetermined moments of time to dama e tolerance design ap roac that suggests that the component is abl to sustain anticipated loads in the presence of fatigue, corrosion or ac idental damage un il su h damage det c ed, through ns ections or malfunctions, and repair d. 7th International Conference on Crack Paths Probabilistic assessment of fatigue crack propagation with accounting for effects of crack retardation due to overloads Dmitry O. Reznikov a * a Mechanical Engineering Research Institute, 4 Maly Kharitonievsky lane, Moscow, 101990, Russia Peer-review under responsibility of CP 2021 – Guest Editors Keywords: Crack growth; failure probability; crack retardation

* Corresponding author. Tel.: +7 495 623 58 35; fax: +7 495 623 58 35. E-mail address: mibsts@mail.ru * Corresponding author. Tel.: +7 495 623 58 35; fax: +7 495 623 58 35. E-mail address: mibsts@mail.ru

2452-3216 © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors 2452-3216 © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors

2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors 10.1016/j.prostr.2022.03.093